Description :Responsibilities :- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models- Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes- Automate the training, testing and deployment processes for machine learning models- Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability- Implement best practices for version control, model reproducibility and governance- Optimize machine learning pipelines for scalability,



efficiency and cost-effectiveness- Troubleshoot and resolve issues related to model deployment and performance- Ensure compliance with security and data privacy standards in all MLOps activities- Keep up to date with the latest MLOps tools, technologies and trends- Provide support and guidance to other team members on MLOps practicesRequired skills and experience :- 3-10 years of experience in MLOps, DevOps or a related field- Bachelors degree in computer science, Data Science or a related field- Robust understanding of machine learning principles and model lifecycle management- Experience in Jenkins pipeline development- Experience in automation scripting (ref:hirist.tech)

📌 MLOps Engineer (Mumbai)
🏢 Wits Innovation Lab
📍 Mumbai